Figure REF  demonstrates some visualized results of our method. As shown in Figure REF , our method is not only good at recovering object details (e.g., the results on the sequence of blackswan), but also robust against heavy occlusions (eg. the results on the sequences bmx-bumps and libby, dramatic movement as well as abrupt rotation (eg. the results on the sequence motocross-bumps). However, there are very few scenarios which may lead to failure cases (denoted by the red box), and mainly caused by the (noisy) objects which have not appeared at the first frame of the video, and can be easily cured by some post-processing steps, including tracking [1]}, online adaptation [2]}, [3]}.
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